I started learning ridge regression in R. I applied the linear ridge regression to my full data set and got the following results.
gridge<-lm.ridge(divorce ~., data=divusa, lambda=seq(0,35,0.02))
select(gridge)
modified HKB estimator is 0.07693804
modified L-W estimator is 0.3088377
smallest value of GCV at 0.02 which.min(gridge$GCV)
0.02
2
round(coef(gridge)[2,-1],3)
year unemployed femlab marriage birth military
-0.195 -0.053 0.790 0.148 -0.118 -0.042
round(coef(g)[-1],3)
year unemployed femlab marriage birth military
-0.203 -0.049 0.808 0.150 -0.117 -0.043
Questions:
- How do I interpret the results?
- Do I have to do anything else for interpretation?